Look, LangChain was great to get the ecosystem started 0 to 1. But let's be honest: taking LangChain to production with 50+ tools is a nightmare of abstraction hell and brittle if/else logic. The AgentExecutor is slow, and relying on it to route complex tools feels like fighting the framework.
Tool discovery shouldn't be an LLM's job, and it shouldn't require a heavy python wrapper. It’s a distributed networking problem.
What we built at US Neural:
We built Mycelium — a decoupled, semantic tool registry. Instead of chaining tools in code, you register them to a local mesh. When a user has a task, the engine routes it semantically (no keyword matching).
The Benchmarks (No BS):
